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University of Utah

Start Date

10-5-1999 12:00 AM

Description

This paper discusses the application of multiresolution image fusion techniques to synthetic aperture radar (SAR) and Landsat imagery. Results were acquired through the development and application of image fusion software to test images. The test images were fused using six image fusion techniques that are the combinations from three types of image decomposition algorithms (ratio of low pass [RoLP] pyramids, gradient pyramids, and morphological pyramids) and two types of fusion algorithms (selection and hybrid selection and averaging). Based upon test results, this study concludes that: small details in city areas make morphological pyramids ineffective, selection forms of fusion do not effectively combine the data, RoLP and gradient pyramids with hybrid fusion produce the best results, and optimum pyramid depth is dependent upon the size of detail in the images.

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May 10th, 12:00 AM

An Analysis of Pyramidal Image Fusion Techniques

University of Utah

This paper discusses the application of multiresolution image fusion techniques to synthetic aperture radar (SAR) and Landsat imagery. Results were acquired through the development and application of image fusion software to test images. The test images were fused using six image fusion techniques that are the combinations from three types of image decomposition algorithms (ratio of low pass [RoLP] pyramids, gradient pyramids, and morphological pyramids) and two types of fusion algorithms (selection and hybrid selection and averaging). Based upon test results, this study concludes that: small details in city areas make morphological pyramids ineffective, selection forms of fusion do not effectively combine the data, RoLP and gradient pyramids with hybrid fusion produce the best results, and optimum pyramid depth is dependent upon the size of detail in the images.